# -*- coding: utf-8 -*-
from datetime import timedelta
# 引入依赖
from jms.dm.dm_order_source_sum_dt import jms_dm__dm_order_source_sum_dt
from jms.dm.dm_design_vehicle_ontime_detail_dt import jms_dm__dm_design_vehicle_ontime_detail_dt
from jms.dwd.dwd_warhouse.dwd_wide_unsign_summary_waybill_dt import jms_dwd__dwd_wide_unsign_summary_waybill_dt
from jms.dim.dim_lmdm_sys_network_expand import jms_dim__dim_lmdm_sys_network_expand
from utils.operators.cluster_for_spark_sql_operator import SparkSqlOperator
jms_dm__dm_agent_operate_bi_dt = SparkSqlOperator(
    task_id='jms_dm__dm_agent_operate_bi_dt',
    email=['houwenlong@jtexpress.com','yl_bigdata@yl-scm.com'],
    depends_on_past=True,
    pool_slots=3,
    retries=0,
    sla=timedelta(hours=8),
    master='yarn',
    name='jms_dm__jms_dm__dm_agent_operate_bi_dt_{{ execution_date | date_add(1) | cst_ds }}',
    sql='jms/dm/dm_agent_operate_bi_dt/execute.hql',
    driver_memory='2G' , 
    executor_memory='4G' , 
    executor_cores=3 , 
    num_executors=5 , 
    yarn_queue='pro',
    conf={'spark.dynamicAllocation.enabled': 'true',  # 动态资源开启
          'spark.shuffle.service.enabled': 'true',  # 动态资源 Shuffle 服务开启
        'spark.dynamicAllocation.maxExecutors'             : 6 , 
          'spark.dynamicAllocation.cachedExecutorIdleTimeout': 60,  # 动态资源自动释放闲置 Executor 的超时时间(s)
          'spark.sql.sources.partitionOverwriteMode': 'dynamic',  # 允许删改已存在的分区
        'spark.executor.memoryOverhead'             : '2G' , 
          'spark.yarn.maxAppAttempts': 1,
          },
    # hiveconf={'hive.exec.dynamic.partition': 'true',  # 开启动态分区
    #           'hive.exec.dynamic.partition.mode': 'nonstrict',  # 动态分区模式非严格
    #           },
    execution_timeout=timedelta(minutes=60),
)

jms_dm__dm_agent_operate_bi_dt << [jms_dm__dm_order_source_sum_dt,
                                   jms_dm__dm_design_vehicle_ontime_detail_dt,
                                   jms_dwd__dwd_wide_unsign_summary_waybill_dt,
                                   jms_dim__dim_lmdm_sys_network_expand
                                                 ]
